updates

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Siberian-Cat.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,28 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: deploy.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% deploy.ipynb 2
+from fastai.vision.all import*
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+# %% deploy.ipynb 5
+learn = load_learner('model.pkl')
+
+# %% deploy.ipynb 7
+categories = ("Dog", "Cat")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% deploy.ipynb 9
+image = gr.Image(type='pil')
+label = gr.Label()
+examples=['dogt1.jpg','Siberian-Cat.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c5209a09ec4bf2905bef2d52478ddb57fe4996e37120404e62276d5cbe1c9f6
+size 47061483